The role involves managing ML infrastructure, building scalable data pipelines, operating training frameworks, leading projects, and ensuring best DevOps practices for machine learning.

The Staff Software Engineer will lead ML infrastructure, architect systems for model training and deployment, and mentor engineers on best practices.

Design, implement, and productionize computer vision algorithms (detection, tracking, pose, activity, anomaly) for low-latency edge deployment. Build scalable ML data ingestion, retraining and redeployment pipelines, and partner cross-functionally to tailor ML solutions for customer deployments.